In Normal distribution, I know that the 2 parameters are mean and standard deviation and I know the concepts and applications of Normal distribution. However, in Log Logistic distribution, what do the 2 parameters of alpha (scale) and beta (shape) stand for? Similar questions go to Weibull distribution, what do the 2 parameters of lambda (scale) and kappa (shape) stand for? What are the values or range of values for these 4 parameters? Where can I find some simple examples and simple exercises to understand the concepts of these 2 distributions?

"Dua" wrote in message <kgmjgs$g6n$1@newscl01ah.mathworks.com>...> 1) How to decide when to use Log Logistic and Weibull distribution to solve problems and know how to work such problems?> > 2) What are the alternative continuous distributions for Log Logistic and Weibull distribution. Which means if I don't use Log Logistic and Weibull, which distributions can I use instead to solve the similar problems?